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DICK'S Sporting Goods

Director – Athlete Activation Data & Analytics

DICK'S Sporting Goods

Director of Athlete Activation Data & Analytics at DICK’S Sporting Goods, responsible for managing analytics teams and strategies. Focus on enhancing customer engagement and lifecycle metrics through data-driven insights.

Posted 6/14/2026full-timeRemote • 🇺🇸 United StatesLead💰 $127,000 - $237,800 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Define and operationalize metrics for customer activation across channels
  • Extend measurement across the full lifecycle, including retention, loyalty, and reactivation
  • Identify friction points in the activation and lifecycle funnels and provide data-driven recommendations to improve conversion and engagement
  • Partner with CRM and loyalty teams to measure and optimize campaigns across email, SMS, push, and owned channels
  • Develop reporting and insights on customer lifetime value (CLV), retention, churn, and loyalty program performance
  • Lead the development of advanced customer segmentation frameworks based on behavioral, transactional, and demographic data
  • Build and oversee propensity models to drive targeted activation and engagement strategies
  • Partner with data engineering and identity teams to develop a unified customer view using first-party data

Requirements

What you’ll need
  • 10+ years of experience in analytics, data science, or a related field
  • At least 5+ years directly leading teams
  • Bachelor's Degree in Statistics, Computer Science, Business Analytics, Economics, Math, Political Sci, Finance, Engineering, Liberal Arts
  • Strong experience working with CRM systems, loyalty programs, and first-party identity data
  • Proven track record of measuring and optimizing customer activation, lifecycle marketing, and retention strategies
  • Hands-on experience with customer segmentation and propensity modeling techniques
  • Demonstrated success in experimentation design, causal inference, and attribution modeling such as A/B testing
  • Advanced proficiency in SQL and experience with analytics tools (e.g., Python/R, BI platforms like Tableau/Looker)
  • Required experience with Adobe Customer Journey Analytics (CJA) and Adobe Customer Data Platform (CDP)

Benefits

Comp & perks
  • Health insurance
  • Competitive total rewards package including bonuses, equity and benefits
  • Generous suite of benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
analyticsdata sciencecustomer segmentationpropensity modelingexperimentation designcausal inferenceattribution modelingSQLPythonR
Soft Skills
leadershipdata-driven decision makingcollaborationcommunicationproblem-solving